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Measuring and visualizing the contributions of Chinese and American LIS research institutions to emerging themes and salient themes

Author

Listed:
  • Lu An

    (Wuhan University)

  • Xia Lin

    (Drexel University)

  • Chuanming Yu

    (Zhongnan University of Economics and Law)

  • Xinwen Zhang

    (Wuhan University)

Abstract

Novelty and salience of the research topics are vital for the competitiveness of research institutions and the development of science and technology. In this study, two novel weighting methods were proposed to differentiate the emergence and salience of research topics. A methodology was constructed to measure and visualize the contributions of research institutions to emerging themes and salient ones. The methods were illustrated with the data of ninety Chinese and American Library and Information Science research institutions collected from the Engineering Compendex and China National Knowledge Infrastructure databases between 2001 and 2012. The contributions of the investigated research institutions to the emerging themes and salient ones were calculated and visualized with the Treemap technique. The institutions were further ranked by their contributions and categorized into four types. The findings can help research institutions evaluate novelty and salience of their research topics, discover research fronts and hotspots and promote their research development.

Suggested Citation

  • Lu An & Xia Lin & Chuanming Yu & Xinwen Zhang, 2015. "Measuring and visualizing the contributions of Chinese and American LIS research institutions to emerging themes and salient themes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1605-1634, December.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1640-4
    DOI: 10.1007/s11192-015-1640-4
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    References listed on IDEAS

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    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. B. Piwowarski & M.R. Amini & M. Lalmas, 2012. "On using a quantum physics formalism for multidocument summarization," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(5), pages 865-888, May.
    3. Wolfgang Glänzel & Bart Thijs, 2012. "Using ‘core documents’ for detecting and labelling new emerging topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 399-416, May.
    4. David A Griffith & Salih Tamer Cavusgil & Shichun Xu, 2008. "Emerging themes in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 39(7), pages 1220-1235, October.
    5. Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
    6. An, Lu & Yu, Chuanming & Li, Gang, 2014. "Visual topical analysis of Chinese and American Library and Information Science research institutions," Journal of Informetrics, Elsevier, vol. 8(1), pages 217-233.
    7. B. Piwowarski & M.R. Amini & M. Lalmas, 2012. "On using a quantum physics formalism for multidocument summarization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(5), pages 865-888, May.
    8. Moed, Henk F. & de Moya-Anegón, Félix & López-Illescas, Carmen & Visser, Martijn, 2011. "Is concentration of university research associated with better research performance?," Journal of Informetrics, Elsevier, vol. 5(4), pages 649-658.
    9. Woo Hyoung Lee, 2008. "How to identify emerging research fields using scientometrics: An example in the field of Information Security," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 503-525, September.
    10. Toshiyuki Asahi & David Turo & Ben Shneiderman, 1995. "Using Treemaps to Visualize the Analytic Hierarchy Process," Information Systems Research, INFORMS, vol. 6(4), pages 357-375, December.
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    Cited by:

    1. Porter, Alan L. & Garner, Jon & Carley, Stephen F. & Newman, Nils C., 2019. "Emergence scoring to identify frontier R&D topics and key players," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 628-643.
    2. Stephen F. Carley & Nils C. Newman & Alan L. Porter & Jon G. Garner, 2017. "A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2077-2087, June.
    3. Porter, Alan L. & Chiavetta, Denise & Newman, Nils C., 2020. "Measuring tech emergence: A contest," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    4. Manika Lamba & Margam Madhusudhan, 2019. "Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 477-505, August.
    5. Stephen F. Carley & Nils C. Newman & Alan L. Porter & Jon G. Garner, 2018. "An indicator of technical emergence," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 35-49, April.

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